{"id":"W6931307386","doi":"10.5281/zenodo.5788696","title":"Enabling Bi-directional Haptic Control in Next Generation Communication Systems: Research, Standards, and Vision","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"InterDigital (Canada)","funders":"European Commission","keywords":"Haptic technology; Key (lock); Component (thermodynamics); The Internet; Control (management); Teleoperation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003039665,0.0003565542,0.0003294695,0.001105158,0.0003981819,0.004011076,0.001091614,0.001532006,0.002457426],"category_scores_gemma":[0.003376406,0.0002344566,0.0002204077,0.0008855846,0.001655638,0.005237286,0.001374539,0.001619111,0.0008308617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009469264,"about_ca_system_score_gemma":0.001080489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008234215,"about_ca_topic_score_gemma":0.0006712874,"domain_scores_codex":[0.9983418,0.0003058796,0.00007563453,0.0001589853,0.0009428624,0.0001748685],"domain_scores_gemma":[0.9973706,0.0008977472,0.0002153527,0.0004284289,0.0009524833,0.000135423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001899029,0.0001251598,0.001266636,0.0009561115,0.00002466746,0.0001675002,0.0007113256,0.006208482,0.05925048,0.3878815,0.00719578,0.5360225],"study_design_scores_gemma":[0.00004567952,0.0007662742,0.004147163,0.001493127,0.00005717683,0.001336151,0.001813812,0.09342929,0.1088052,0.3560319,0.4318512,0.0002229967],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04968059,0.06828843,0.7872177,0.01058836,0.001399111,0.0001394459,0.0001234114,0.001362638,0.08120035],"genre_scores_gemma":[0.6814604,0.04429539,0.2518326,0.001498757,0.0009410253,0.0001978339,0.0002418472,0.0002898987,0.01924224],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004011076,"threshold_uncertainty_score":0.01607543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0691702409194964,"score_gpt":0.2997606027676101,"score_spread":0.2305903618481137,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}